37 Interactive Technology Team
Dec 9, 2024 · Artificial Intelligence
Optimizing Request Concurrency for LLM Workflows: Rationale, Implementation, and Results
By breaking iterable inputs into parallel LLM calls and batching 20 items across three languages within Dify’s platform limits, the workflow achieves 43‑64% average runtime reductions and markedly higher success rates, demonstrating that request‑level concurrency dramatically improves throughput for large‑scale translation tasks.
CozeDifyLLM
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